Dr Slava Vaisman

Lecturer

Mathematics

+61 7 336 53264

r.vaisman@uq.edu.au

Hartley Teakle Building (83), Room S516

View researcher profile

Personal page

Dr Slava Vaisman's personal page

Teaching and learning

Dr Vaisman teaches 4th year advanced probability and stochastic processes.

Researcher biography

Radislav Vaisman is a Lecturer in the School of Mathematics and Physics at the University of Queensland. He received the Ph.D. degree in Information System Engineering from the Technion, Israel Institute of Technology. His research interests are rare–event probability estimation, theoretical computer science, and randomized algorithms. He is the co-author of two books, Fast Sequential Monte Carlo Methods for Counting and Optimization and Ternary Networks: Reliability and Monte Carlo. His personal website can be found under http://www.smp.uq.edu.au/node/106/2407 and http://www.smp.uq.edu.au/people/RadislavVaisman. His email address is r.vaisman@uq.edu.au and slvaisman@gmail.com.

Radislav Vaisman's research interests lie at the intersection of applied probability and computer science where he has made key contributions to the theory and the practical usage of Sequential Monte Carlo methods. Specifically, his work led to the publication of a book by John Wiley & Sons: Fast Sequential Monte Carlo Methods for Counting and Optimization, which covers the state-of-the-art of modern simulation techniques for counting and optimization. In addition, his contribution to the field of Reliability resulted in the book: Ternary Networks: Reliability and Monte Carlo, by Springer. Dr. Vaisman has published in top ranking journals such as Statistics and Computing, INFORMS, Journal on Computing, Structural Safety, Networks, and IEEE Transactions on Reliability.

Radislav Vaisman's research in the field of Sequential Monte Carlo led to the development of the Stochastic Enumeration method for estimating the size of backtrack trees. The proposed method tackles this very general but difficult problem in computational sciences. Dr. Vaisman also developed a rigorous analysis of the Stochastic Enumeration procedure and showed that it results in significant variance reduction as compared to available alternatives. In addition, he applied the multilevel splitting ideas to many practical applications, such as optimization, counting, and network studies. Dr. Vaisman has also produced insightful work in the field of systems reliability, both in theory and practice. In particular, he has developed Sequential Monte Carlo methods for estimating failure probability in highly reliable structures and new sampling plans for estimating network reliability based on a network's structural invariants. This contribution has been recognized by top scientific journals in this field, namely Structural Safety and IEEE Transactions on Reliability.

Publications

Books (2)

Book Chapter (1)

Journal Articles (17)

Conference Papers (5)

Books

Gertsbakh, Ilya, Shpungin, Yoseph and Vaisman, Radislav Ternary networks: reliability and Monte Carlo. Heidelberg, Berlin: Springer, 2014.

Rubinstein, Reuven Y, Ridder, Ad and Vaisman, Radislav Fast sequential Monte Carlo methods for counting and optimization. Hoboken, NJ, United States: John Wiley & Sons, 2014. doi:10.1002/9781118612323

Book Chapter

Gertsbakh, Ilya B., Shpungin, Yoseph and Vaisman, Radislav (2018). Reliability of a network with heterogeneous components. In Recent Advances in Multi-state Systems Reliability (pp. 3-18) Cham, Switzerland: Springer. doi:10.1007/978-3-319-63423-4_1

Journal Articles

Vaisman, Radislav and Kroese, Dirk P. (2018) On the analysis of independent sets via multilevel splitting. Networks, 71 3: 281-301. doi:10.1002/net.21805

Vaisman, Radislav, Roughan, Matthew and Kroese, Dirk P. (2017) The Multilevel Splitting algorithm for graph colouring with application to the Potts model. Philosophical Magazine, 97 19: 1646-1673. doi:10.1080/14786435.2017.1312023

Finkelstein, Maxim, Gertsbakh, Ilya and Vaisman, Radislav (2017) On a single discrete scale for preventive maintenance with two shock processes affecting a complex system. Applied Stochastic Models in Business and Industry, 33 1: 54-62. doi:10.1002/asmb.2218

Gertsbakh, Ilya B. and Vaisman, Radislav (2016) Resilience of finite networks against simple and combined attack on their nodes. Reliability: Theory and Applications, 11 4 (43): 8-18.

Vaisman, Radislav, Kroese, Dirk P. and Gertsbakh, Ilya B. (2016) Splitting sequential Monte Carlo for efficient unreliability estimation of highly reliable networks. Structural Safety, 63 1-10. doi:10.1016/j.strusafe.2016.07.001

Vaisman, Radislav, Botev, Zdravko I. and Ridder, Ad (2016) Sequential Monte Carlo for counting vertex covers in general graphs. Statistics and Computing, 26 3: 591-607. doi:10.1007/s11222-015-9546-9

Vaisman, Radislav, Kroese, Dirk P. and Gertsbakh, Ilya B. (2016) Improved sampling plans for combinatorial invariants of coherent systems. IEEE Transactions on Reliability, 65 1: 410-424. doi:10.1109/TR.2015.2446471

Gertsbakh, Ilya B, Shpungin, Yoseph and Vaisman, Radislav (2015) D-spectrum and reliability of a binary system with ternary components. Probability in the Engineering and Informational Sciences, 30 1: 25-39. doi:10.1017/S0269964815000261

Vaisman, Radislav and Kroese, Dirk P (2015) Stochastic Enumeration Method for Counting Trees. Methodology and Computing in Applied Probability, 19 1: 31-73. doi:10.1007/s11009-015-9457-4

Vaisman, Radislav, Strichman, Ofer and Gertsbakh, Ilya (2015) Model counting of monotone conjunctive normal form formulas with Spectra. INFORMS Journal On Computing, 27 2: 406-415. doi:10.1287/ijoc.2014.0633

Gertsbakh, Ilya, Neuman, Eyal and Vaisman, Radislav (2014) Monte Carlo for estimating exponential convolution. Communications in Statistics - Simulation and Computation, 44 10: 2696-2704. doi:10.1080/03610918.2013.842591

Gertsbakh, Ilya, Shpungin, Yoseph and Vaisman, Radislav (2014) Network reliability Monte Carlo with nodes subject to failure. International Journal of Performability Engineering, 10 2: 163-172.

Gertsbach, Ilya, Rubinstein, Reuven, Shpungin, Yoseph and Vaisman, Radislav (2014) Permutational methods for performance analysis of stochastic flow networks. Probability In The Engineering And Informational Sciences, 28 1: 21-38. doi:10.1017/S0269964813000302

Dupuis, Paul, Kaynar, Baher, Ridder, Ad, Rubinstein, Reuven and Vaisman, Radislav (2012) Counting with combined splitting and capture-recapture methods. Stochastic Models, 28 3: 478-502. doi:10.1080/15326349.2012.699761

Rubinstein, Reuven, Dolgin, Andrey and Vaisman, Radislav (2012) The splitting method for decision making. Communications in Statistics: Simulation and Computation, 41 6: 905-921. doi:10.1080/03610918.2012.625339

C'erou, Frédéric, Guyader, Arnaud, Rubinstein, Reuven and Vaisman, Radislav (2011) On the use of smoothing to improve the performance of the splitting method. Stochastic Models, 27 4: 629-650. doi:10.1080/15326349.2011.614188

Glynn, Peter W., Dolgin, Andrey, Rubinstein, Reuven Y. and Vaisman, Radislav (2010) How to generate uniform samples on discrete sets using the splitting method. Probability in the Engineering and Informational Sciences, 24 3: 405-422. doi:10.1017/S0269964810000057

Conference Papers

Moreno, Gabriel A., Strichman, Ofer, Chaki, Sagar and Vaisman, Radislav (2017). Decision-making with cross-entropy for self-adaptation. In: 12th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2017. 12th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2017, Buenos Aires, Argentina, (90-101). 22 - 23 May 2017. doi:10.1109/SEAMS.2017.7

Shah, Rohan and Vaisman, Radislav (2016). New sampling plans for estimating residual connectedness reliability. In: International Conference on Operations Research and Statistics. Annual Proceedings. 4th Annual International Conference on Operations Research and Statistics (ORS 2016), City of Singapore, Singapore, (56-65). 18-19 January 2016. doi:10.5176/2251-1938_ORS16.18

Salomone, Robert, Vaisman, Radislav and Kroese, Dirk (2016). Estimating the number of vertices in convex polytopes. In: International Conference on Operations Research and Statistics Proceedings. 4th Annual International Conference on Operations Research and Statistics (ORS 2016), 5th Annual Conference on Computational Mathematics, Computational Geometry & Statistics (CMCGS 2016), Singapore, Singapore, (96-105). 18 - 19 January 2016. doi:10.5176/2251-1938_ORS16.25

Gertsbakh, Ilya B. , Shpungin, Yoseph and Vaisman, Radislav (2016). D-spectra for networks with binary and ternary components. In: Proceedings - 2nd International Symposium on Stochastic Models in Reliability Engineering, Life Science, and Operations Management, SMRLO 2016. Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO’16), Beer Sheva, Israel, (217-220). 15 -18 Febuary 2016. doi:10.1109/SMRLO.2016.44

Botev, Zdravko I., Vaisman, Slava, Rubinstein, Reuven Y. and L’Ecuyer, Pierre (2014). Reliability of stochastic flow networks with continuous link capacities. In: A. Tolk, S. D. Diallo, I. O. Ryzhov, L. Yilmaz, S. Buckley and J. A. Miller, Proceedings of the 2014 Winter Simulation Conference. 2014 Winter Simulation Confernce, Savannah, GA, USA, (543-552). 7-10 December 2014. doi:10.1109/WSC.2014.7019919

Areas of research

Statistics and probability